A5101491884- Neural Networks Stability and Synchronization
- Optimal Power Flow Distribution
- Distributed Control Multi-Agent Systems
- Nonlinear Dynamics and Pattern Formation
- Network Security and Intrusion Detection
- Generative Adversarial Networks and Image Synthesis
- Internet of Things and AI
- Electricity Theft Detection Techniques
- Smart Grid Energy Management
- stochastic dynamics and bifurcation
- Quantum Computing Algorithms and Architecture
- Analytical Chemistry and Sensors
- Composite Structure Analysis and Optimization
- Digital Media Forensic Detection
- Advanced Image Processing Techniques
- Gas Sensing Nanomaterials and Sensors
- Advanced Chemical Sensor Technologies
- Adaptive Dynamic Programming Control
- Stability and Control of Uncertain Systems
- Structural Analysis and Optimization
- Frequency Control in Power Systems
- Islanding Detection in Power Systems
- Stability and Controllability of Differential Equations
- Power Systems and Technologies
- Vibration and Dynamic Analysis
Central South University
2024
Sinopec (China)
2020
Unbalanced operation of a three-phase distribution system could incur more power losses, compared with the balanced operation. So far, phase information users in low voltage areas is not recorded by utilities and unbalance degree very significant some systems. Given this background, letter presents an integrated method for solving related issues including user identification based on spectral clustering mitigation, Mixed Integer Linear Programming (MILP) model then formulated. Some actual...
This paper presents the need for innovative solutions to optimize computational power networks and application of quantum computing tackle real-world challenges. Our research addresses this critical issue by developing a robust pre-training scheme that integrates Quantum Unweighted Quadratic Unconstrained Binary Optimization (QUBO) models with quantum-inspired algorithms. approach aims enhance adversarial robustness CVQKD systems, ensuring their security in face sophisticated hacking...
The paper mainly focuses on the synchronization of multiple-weight Markovian switching complex networks under nonlinear coupling mode. Based finite-time stability theory, Itô’s lemma, and some inequality technologies, criterion network models in mode is obtained; at same time, unknown parameters are also identified by an effective controller. In addition, several corollaries given to illustrate general applicability control rules paper. Finally, two typical numerical simulations prove...
The current work deals with the mechanical buckling behavior of saturated porous toroidal shell segments sandwiched by piezoelectric actuator layers. Material properties shells nonuniform distributed porosities are assumed to vary as a specific function thickness and porosity parameters. nonlinear equations sandwich having either positive or negative Gaussian curvature obtained on basis Biot’s poroelasticity theory. energy method minimum potential principle is applied derive governing...
In this paper, two different nonlinear coupled Markovian switching delayed network models with multiple weights are established, and the effects of parameter model uncertainties external disturbances fully considered. Firstly, based on finite-time theory, several sufficient conditions for synchronization networks obtained. Secondly, under feedback controller adaptive laws, when is achieved in a finite time, uncertain parameters can also be identified as true values. Finally, representative...
In recent years, the combination of artificial intelligence and power systems has been increasing. However, collection image datasets equipment is limited by places environments, so number collected relatively small, which makes it unable to provide sufficient data support for specific applications. We propose use Generative Adversarial Networks generate images electrical from existing sparse datasets, thereby increasing size dataset. this paper, three generative adversarial networks with...
This paper is concerned with the issue of finite-time <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <msub> <mrow> <mi>H</mi> </mrow> <mi>∞</mi> </msub> </math> load frequency control for power systems actuator faults. Concerning various disturbances, fault modeled by a homogeneous Markov chain. The aperiodic sampling data controller designed to alleviate conservatism attained results. Based on new piecewise Lyapunov functional, some novel sufficient criteria are established, and...